A parallel multi-objective robust optimal scheduling integrated control method for microgrid
An optimized scheduling and target-robust technology, applied in system integration technology, electrical components, circuit devices, etc., can solve problems such as premature maturity, evolutionary stagnation, and incomplete optimization, so as to reduce pollution emissions, improve energy efficiency, and improve search efficiency. The effect of optimizing speed and control efficiency
Active Publication Date: 2018-07-13
EAST CHINA JIAOTONG UNIVERSITY
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However, when the intelligent evolution method solves complex problems, there is a general contradiction between the depth of optimization and the speed of optimization, and the phenomenon that the similarity of each individual in the population will become higher and higher in the later stage of evolution, resulting in the phenomenon that evolution tends to stagnate. So far, it has not been solved well, and it has become a bottleneck in the development of various intelligent evolution methods.
For the multi-objective robust optimization operation of a microgrid that is highly complex and requires deep optimization, the above problems will lead to incomplete optimization and fall into premature
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[0020] The specific embodiment of the present invention comprises the following steps:
[0021] Step 1: Construct a multi-core cluster parallel computing environment.
[0022] At present, multi-core CPUs are widely used in ordinary PCs. This embodiment intends to use conventional multi-core PCs to build a low-cost cluster system to achieve cost-effective parallel computing, and has the characteristics of flexible structure and strong scalability. The use of parallel environments such as MPI and OpenMP and multi-core computing platforms can well fit the cluster architecture and the distribution and shared storage characteristics of multi-core computing nodes. In the microgrid robust multi-objective optimization operation comprehensive system constructed, the number of cluster nodes in the model can be flexibly increased or decreased according to the microgrid scale and computational complexity. Tasks such as power generation control tasks and output constraint range real-time ...
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An integrated control method for parallel multi-objective robust optimal scheduling of microgrids, which introduces multi-core cluster parallel computing technology into complex microgrid integration from the perspective of integration of multi-objective robust optimal scheduling and distributed power control systems Robust multi-objective optimization operation calculation and control process, through the system information interconnection network to integrate the micro-grid robust multi-objective optimal dispatch model and distributed electric energy control system, build a micro-grid parallel multi-objective robust optimal dispatch integrated control mechanism; In the multi-core cluster parallel computing environment, the central controller of the power grid uses the multi-core population parallel multi-objective evolutionary optimization method based on L-J potential to reconcile the contradiction between the optimization depth and the optimization speed, and quickly and accurately generate the optimal microgrid coordination Optimize the operation plan instructions, and issue them to each local controller to control the output of each distributed power generation unit in real time, and finally realize the optimal operation of the microgrid system in terms of economy, environmental protection, robustness, and power quality.
Description
technical field [0001] The invention relates to an integrated control method for parallel multi-objective robust optimal dispatching of a micro-grid, belonging to the technical field of optimized operation of smart grids. Background technique [0002] Microgrid is an important part of smart grid and energy internet in the third industrial revolution. The research on microgrid operation at home and abroad can be roughly divided into two categories, one is the microgrid optimal dispatching research mainly considering the system economy and environmental protection, and the other is the microgrid power control research considering the power quality. At present, these two types of research are relatively independent, and there are few studies that combine the global optimal scheduling of microgrids with distributed generation (DG) control. However, for microgrids with connotations of energy conservation and environmental protection, if the power control is not combined with glo...
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IPC IPC(8): H02J3/00G06Q50/06
CPCG06Q50/06H02J3/00H02J2203/20Y02E40/70Y04S10/50
Inventor 彭春华孙惠娟
Owner EAST CHINA JIAOTONG UNIVERSITY